Data Visualization Jobs; How To Make Money And The Tools Used
What Is Data Visualization And Data Visualization Jobs?
Data visualization is just a way of presenting information in a visual form either in a charts, graphs or maps thereby making complex data more understandable.
The purpose of data visualization is to make a complex data more simple so that anyone no matter his/her background can be able to understand it well. It is just like telling a story with picture.
Many industries like finance, healthcare and others do seek for data visualization engineers/ specialists in order to enhance decision-making processes or help in analyzing sales figures. Below, I will be listing some data visualization jobs.
Skills Needed To Become A Data Visualization Engineer.
Becoming a good data visualization engineer or specialist involves the mixture of creative and technical skills to be able to turn complex data into visual form. Here are the important skills needed in data visualization:
- Tool Mastery: Learn how to use tools such as infogram, looker, google charts and many other tools I will be listing. These tools help to create chart, dashboards and graphs, so they make it easy to turn data into visuals.
- Graphic Design Knowledge: Understanding the basic design principle such as contrast, alignment hierarchy, repetition and balance etc. is very important as it helps to make designs/charts clear and attractive.
- Communication Skill: Your job is not just all about creating visuals, it’s also to make sure that people understand them. Good communication skills are needed as it helps to tell the story behind a project.
- Creative skills: Data visualization is just like solving a puzzle, it’s just like turning an unorganized data into a meaningful data. So you need to have the ability to think about a task or problem differently, or be able to find an interesting way to approach a task in a unique way.
- Coding skills: This coding skill is really optional, but they are some jobs that might require you to have knowledge or coding languages like python or JavaScript. So it’s not a must to have this skill, but if you have it, then good because it can be useful in some areas.
- Data understanding: You have to know how to work with data (very important), and also understand what they mean and the story they tell.
Data Visualization Jobs
Below are list of some data visualizations jobs:
- Infographic Designer: These people specialize in using striking and engaging visuals to communicate information clearly. They present information in a graphic format, chart or image accompanied by minimal text in order to make data easily understandable. They also make information more interesting and easy to understand, thereby making it valuable for educational and business purposes.
- Data Visualizations Specialist: These people use tools like QlikView, Power Bi, looker or excel to create charts, dashboard or graphs which help industries to see trends and pattern in their data and to make data more understandable.
- Data scientist: They are responsible for collecting and analyzing large amount of data using algorithm, statistical tools and artificial intelligence and then use visualization to show their findings, thereby helping companies in decision makings.
- Data analyst: These people make use of tools like SQL, statistical tools and python programming language, and need to be expert with data cleansing techniques. They help to understand business problems, cleaning and reorganizing data for analysis in order to help businesses make informed decisions. They do this by collecting data from various sources like database, spreadsheet and others.
- Business intelligence analyst: These people collect and interpret data, thereby creating visual reports for businesses. They use the data collected to help increase the company’s efficiency and maximize profits. They also help companies to understand their competitors and market, and also make informed decisions.
They are still other data visualization jobs but the above mentioned are among the ones in demand now.
How To Make Money As A Data Visualization Engineer
Making money as a data visualization engineer involves putting to use your skills to help businesses and individuals understand their data excellently. And below are ways you can do that:
- Create A Portfolio: You should create an eye-catching portfolio showcasing your works, as this can help to attract clients or employers who are looking for someone with data visualization skills.
- Freelancing: Create an account on Upwork or Fiverr and offer your data visualization skills there. Business owners do visit this website to seek for freelancers with data visualization skills.
- Teaching: Since many individuals are interested in learning these skills. You can write a book on data visualization and put it up for sale on Amazon KDP, or engage in teaching people online or offline.
Also remember that being successful in data visualization is not just only about having the ability to create visuals, but it’s also to be able to tell a compelling story with the data. And by doing this, you will put yourself in a position to get a high income generating opportunity.
Data Visualization Tools
They are many different data visualizations tools and each has its own particular use. Some of them include:
- QlikView: This is a desktop application that is known for its powerful associative engines. They help users to explore and uncover hidden trends that they might not have seen. That means, with QlikView, you can interact with your data and see the bigger picture.
- Google charts: This is a free online tool that can be used to create simple chart and graphs.
- Power BI: This is also a desktop and cloud-based application and part of the Microsoft Office suite, that helps business to organize and analyze their data, thereby turning them into pleasing visual for better understanding. It just helps to bring different data together to create stunning reports and dashboards.
- InfoGram: This is an online tool that helps to create stunning infographic and interactive charts, thereby turning data into a captivating story. It is user-friendly and offers a vast library of dashboard icons, templates and design elements.
- Looker: This helps in data analysis, it explores data and creates reports, thereby helping businesses in decision-making. It is just like an exploration hub where you can visualize, analyze and share insight with your project team.
- D3.js: This is a JavaScript library that allows users to create unique and customized data visualizations on websites.
- Tableau: It is a desktop application and has a user-friendly interface, It allows user to create an interactive dashboard that tells the data story in a visual form. It also helps user to paint their data with charts and graphs.
- GoodData: This is a cloud-based analytics tool that enables users to explore data to create an interactive dashboard and charts.
Some of these tools can be quite expensive and some might have limited customization.
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